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Senior AI Engineer GenAI / Agentic AI / Financial Services

Senior AI Engineer GenAI / Agentic AI / Financial Services

Mahindra Satyam
  • Posted 7 hours ago
  • Be among the first 10 applicants

Job Description

  • 5+ years of enterprise software development, including 2+ years of hands-on AI/GenAI experience
  • Strong Python development and experience integrating LLMs into production AI applications
  • Proven experience building Generative AI solutions for financial services; exposure to trading, fixed income, FX or credit is highly desirable
  • Strong LLM / GenAI integration experience with models such as OpenAI/GPT or Anthropic/Claude
  • Hands-on LangChain / LangGraph experience for GenAI workflow orchestration and agentic applications
  • Experience designing multi-agent / autonomous AI systems capable of coordinating complex tasks
  • Strong RAG experience, including multi-step retrieval pipelines and integration of structured/unstructured enterprise data
  • Experience with Azure Cognitive Search, semantic retrieval and conversational/long-term memory solutions
  • Experience with AI agent frameworks, ideally OpenAI Agents SDK
  • Understanding of LLM context management, retrieval strategies and extended-context models
  • Experience deploying AI solutions using Docker, Kubernetes, CI/CD and observability in enterprise/regulated environments
  • Exposure to LLM fine-tuning / adaptation (LoRA, PEFT) is desirable but not mandatory
  • Ability to work closely with business stakeholders, quants and traders, translating business problems into technical AI solutions
  • Strong ownership, communication, problem-solving and Agile delivery skills
  • Bachelor's/Master's degree in Computer Science or equivalent experience

More Info

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Key Skills

LangChain

PEFT

LLMs

multi-agent autonomous AI systems

AI GenAI

CI CD

LangGraph

LLM context management

Generative AI solutions

LLM fine-tuning

LoRA

RAG

Azure Cognitive Search

AI agent frameworks

observability

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